Andres Mendez

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BACKGROUND The versatility of recombinant adeno-associated vector (rAAV) as a gene delivery system is due to the vector's ability to transduce different cell types as well as dividing and non-dividing cells. Large-scale production of rAAV remains one of the major challenges for continued development of pre-clinical and clinical studies, and for its(More)
Obtaining the glottal space segmentation is essential to characterize morphological disorders of vocal folds. In this study, the tested images are been acquired by direct optical inspection of the glottis using an endoscope and most of them are very poor quality. The application of motion estimation is very useful to segment the vocal folds endoscopic(More)
This paper describes a method to automatically obtain the glottal space segmentation without user initialization from healthy and pathological vocal folds video sequences captured by the laryngoscope. The segmentation is mainly based on a Gabor filter bank, studying the texture differences inside vocal folds images, and combining it with others advanced(More)
This paper presents an algorithm which works with oesophageal voices in order to evaluate their quality by means of the automatic calculation of shimmer. The evaluation requires a novel and specific processing for the detection of the periodicity cycles and instants in order to calculate amplitude perturbations of vocal signals. The designed algorithm(More)
This paper introduces the “joPAS“ programming API, which has been developed by the PAS research team at the University of Deusto. “joPAS” enables the use of “octave” variables and functions through a JAVA program. Therefore, this API makes it possible to not only develop signal processing applications quickly by(More)
Automatic human facial recognition is an important and complicated task; it is necessary to design algorithms capable of recognizing the constant patterns in the face and to use computing resources efficiently. In this paper we present a novel algorithm to recognize the human face in real time; the system’s input is the depth and color data from the(More)
This paper presents an oesophageal speech enhancement algorithm. Such exceptionally special type of voice is due to the laryngectomy undergone by those persons with larynx cancer. An oesophageal voice has extremely low intelligibility. This works proposes a method to improve its quality, which consists of stabilizing the poles of the transfer function of(More)
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